| acen_hg19 | centromere regions (hg19) | 
| acen_hg38 | centromere regions (hg38) | 
| aggregate_counts | Utility function to make reference gene expression profiles | 
| analyze_bulk | Call CNVs in a pseudobulk profile using the Numbat joint HMM | 
| annotate_genes | Annotate genes on allele dataframe | 
| annot_ref | example reference cell annotation | 
| bulk_example | example pseudobulk dataframe | 
| chrom_sizes_hg19 | chromosome sizes (hg19) | 
| chrom_sizes_hg38 | chromosome sizes (hg38) | 
| cnv_heatmap | Plot CNV heatmap | 
| count_mat_example | example gene expression count matrix | 
| count_mat_ref | example reference count matrix | 
| detect_clonal_loh | Call clonal LOH using SNP density. Rcommended for cell lines or tumor samples with no normal cells. | 
| df_allele_example | example allele count dataframe | 
| gaps_hg19 | genome gap regions (hg19) | 
| gaps_hg38 | genome gap regions (hg38) | 
| get_bulk | Aggregate single-cell data into combined bulk expression and allele profile | 
| get_gtree | Get a tidygraph tree with simplified mutational history. | 
| gexp_roll_example | example smoothed gene expression dataframe | 
| gtf_hg19 | gene model (hg19) | 
| gtf_hg38 | gene model (hg38) | 
| gtf_mm10 | gene model (mm10) | 
| hc_example | example hclust tree | 
| joint_post_example | example joint single-cell cnv posterior dataframe | 
| mut_graph_example | example mutation graph | 
| Numbat | Numbat R6 class | 
| phylogeny_example | example single-cell phylogeny | 
| plot_bulks | Plot a group of pseudobulk HMM profiles | 
| plot_consensus | Plot consensus CNVs | 
| plot_exp_roll | Plot single-cell smoothed expression magnitude heatmap | 
| plot_mut_history | Plot mutational history | 
| plot_phylo_heatmap | Plot single-cell CNV calls along with the clonal phylogeny | 
| plot_psbulk | Plot a pseudobulk HMM profile | 
| plot_sc_tree | Plot single-cell smoothed expression magnitude heatmap | 
| pre_likelihood_hmm | HMM object for unit tests | 
| ref_hca | reference expression magnitudes from HCA | 
| ref_hca_counts | reference expression counts from HCA | 
| run_numbat | Run workflow to decompose tumor subclones | 
| segs_example | example CNV segments dataframe | 
| upgma | UPGMA and WPGMA clustering | 
| vcf_meta | example VCF header |